Spectral-Spatial Feature Extraction for Hyperspectral Image Classification: A Dimension Reduction and Deep Learning Approach

IEEE Transactions on Geoscience and Remote Sensing

Volumn 54, Issue 8, 2016, Pages 4544-4554

  Zhao, Wenzhi ^a   Du, Shihong ^a  

^a PEKING UNIVERSITY   (China)

Author keywords

Balanced local discriminant embedding (BLDE); convolutional neural network (CNN); deep learning (DL); dimension reduction (DR); Feature extraction

Indexed keywords

CLASSIFICATION (OF INFORMATION); EXTRACTION; FEATURE EXTRACTION; NEURAL NETWORKS; SPECTROSCOPY;

CONVOLUTIONAL NEURAL NETWORK; DIMENSION REDUCTION; HYPERSPECTRAL DATA; HYPERSPECTRAL IMAGE CLASSIFICATION; LOCAL DISCRIMINANT EMBEDDING; MULTIPLE FEATURE-BASED CLASSIFIER; SPATIAL FEATURES; SPECTRAL FEATURE EXTRACTION;

IMAGE CLASSIFICATION;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; DATA SET; IMAGE ANALYSIS; IMAGE CLASSIFICATION; MULTISPECTRAL IMAGE; NUMERICAL METHOD; SPECTRAL ANALYSIS;

EID: 84979492674     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2016.2543748     Document Type: Article

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